Analysis of process models

Author

Zakarian, Armen ; Kusiak, Andrew

Author_Institution

Dept. of Ind. & Manuf. Syst. Eng., Michigan Univ., Dearborn, MI, USA

Volume

23

Issue

2

fYear

2000

fDate

4/1/2000 12:00:00 AM

Firstpage

137

Lastpage

147

Abstract

Process modeling tools, such as the integrated definition (IDEF) methodology, allow for a systematic representation of processes in manufacturing, product development, and service applications. Most of the process modeling methodologies are based on informal notation, lack mathematical rigor, and are static and qualitative, and thus can be difficult to use for analysis. In this paper, a new analysis approach for process models based on signed directed graphs (SDGs) and fuzzy sets is presented. A membership function of fuzzy sets quantifies and transforms incomplete and ambiguous information of process variables into an SDG qualitative model. The effectiveness of the approach is illustrated with an industrial example. The architecture of an intelligent system for qualitative/quantitative analysis of process models is presented

Keywords

computer integrated manufacturing; directed graphs; fuzzy set theory; manufacturing processes; product development; fuzzy sets; integrated definition methodology; process models; process variables; product development; qualitative model; service applications; signed directed graphs; Computer aided manufacturing; Computer integrated manufacturing; Fires; Fuzzy sets; Intelligent systems; Manufacturing processes; Mathematical model; Object oriented modeling; Product development; Virtual manufacturing;

fLanguage

English

Journal_Title

Electronics Packaging Manufacturing, IEEE Transactions on

Publisher

ieee

ISSN

1521-334X

Type

jour

DOI

10.1109/6104.846937

Filename

846937